Search Results - "Verbeek, Jakob"

TagProp: Discriminative metric learning in nearest neighbor models for image auto-annotation by Guillaumin, Matthieu, Mensink, Thomas, Verbeek, Jakob, Schmid, Cordelia

“…Image auto-annotation is an important open problem in computer vision. For this task we propose TagProp, a discriminatively trained nearest neighbor model…”
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The global k-means clustering algorithm by Likas, Aristidis, Vlassis, Nikos, J. Verbeek, Jakob

“…We present the global k-means algorithm which is an incremental approach to clustering that dynamically adds one cluster center at a time through a…”
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Joint source–target encoding with pervasive attention by Elbayad, Maha, Besacier, Laurent, Verbeek, Jakob

“…The pervasive attention model is a sequence-to-sequence model that addresses the issue of source–target interaction in encoder–decoder models by jointly…”
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Gaussian fields for semi-supervised regression and correspondence learning by Verbeek, Jakob J., Vlassis, Nikos

“…Gaussian fields (GF) have recently received considerable attention for dimension reduction and semi-supervised classification. In this paper we show how the GF…”
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Improving web image search results using query-relative classifiers by Krapac, Josip, Allan, Moray, Verbeek, Jakob, Juried, Frederic

“…Web image search using text queries has received considerable attention. However, current state-of-the-art approaches require training models for every new…”
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Learning Color Names from Real-World Images by van de Weijer, J., Schmid, C., Verbeek, J.

“…Within a computer vision context color naming is the action of assigning linguistic color labels to image pixels. In general, research on color naming applies…”
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Accelerated EM-based clustering of large data sets by Verbeek, Jakob J., Nunnink, Jan R. J., Vlassis, Nikos

“…Motivated by the poor performance (linear complexity) of the EM algorithm in clustering large data sets, and inspired by the successful accelerated versions of…”
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Weakly Supervised Object Localization with Multi-Fold Multiple Instance Learning by Cinbis, Ramazan Gokberk, Verbeek, Jakob, Schmid, Cordelia

“…Object category localization is a challenging problem in computer vision. Standard supervised training requires bounding box annotations of object instances…”
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Action and Event Recognition with Fisher Vectors on a Compact Feature Set by Oneata, Dan, Verbeek, Jakob, Schmid, Cordelia

“…Action recognition in uncontrolled video is an important and challenging computer vision problem. Recent progress in this area is due to new local features and…”
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FeaStNet: Feature-Steered Graph Convolutions for 3D Shape Analysis by Verma, Nitika, Boyer, Edmond, Verbeek, Jakob

“…Convolutional neural networks (CNNs) have massively impacted visual recognition in 2D images, and are now ubiquitous in state-of-the-art approaches. CNNs do…”
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Image Classification with the Fisher Vector: Theory and Practice by Sánchez, Jorge, Perronnin, Florent, Mensink, Thomas, Verbeek, Jakob

“…A standard approach to describe an image for classification and retrieval purposes is to extract a set of local patch descriptors, encode them into a high…”
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Learning structured prediction models for interactive image labeling by Mensink, T., Verbeek, J., Csurka, G.

“…We propose structured models for image labeling that take into account the dependencies among the image labels explicitly. These models are more expressive…”
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A Robust and Efficient Video Representation for Action Recognition by Wang, Heng, Oneata, Dan, Verbeek, Jakob, Schmid, Cordelia

“…This paper introduces a state-of-the-art video representation and applies it to efficient action recognition and detection. We first propose to improve the…”
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Active Appearance-Based Robot Localization Using Stereo Vision by Porta, J.M., Verbeek, J.J., Kröse, B.J.A.

“…A vision-based robot localization system must be robust: able to keep track of the position of the robot at any time even if illumination conditions change…”
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ResMLP: Feedforward Networks for Image Classification With Data-Efficient Training by Touvron, Hugo, Bojanowski, Piotr, Caron, Mathilde, Cord, Matthieu, El-Nouby, Alaaeldin, Grave, Edouard, Izacard, Gautier, Joulin, Armand, Synnaeve, Gabriel, Verbeek, Jakob, Jegou, Herve

“…We present ResMLP, an architecture built entirely upon multi-layer perceptrons for image classification. It is a simple residual network that alternates (i) a…”
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Segmentation Driven Object Detection with Fisher Vectors by Cinbis, Ramazan Gokberk, Verbeek, Jakob, Schmid, Cordelia

“…We present an object detection system based on the Fisher vector (FV) image representation computed over SIFT and color descriptors. For computational and…”
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Areas of Attention for Image Captioning by Pedersoli, Marco, Lucas, Thomas, Schmid, Cordelia, Verbeek, Jakob

“…We propose "Areas of Attention", a novel attentionbased model for automatic image captioning. Our approach models the dependencies between image regions,…”
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Multi-fold MIL Training for Weakly Supervised Object Localization by Cinbis, Ramazan Gokberk, Verbeek, Jakob, Schmid, Cordelia

“…Object category localization is a challenging problem in computer vision. Standard supervised training requires bounding box annotations of object instances…”
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Hierarchical Scene Coordinate Classification and Regression for Visual Localization by Li, Xiaotian, Wang, Shuzhe, Zhao, Yi, Verbeek, Jakob, Kannala, Juho

“…Visual localization is critical to many applications in computer vision and robotics. To address single-image RGB localization, state-of-the-art feature-based…”
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Is that you? Metric learning approaches for face identification by Guillaumin, Matthieu, Verbeek, Jakob, Schmid, Cordelia

“…Face identification is the problem of determining whether two face images depict the same person or not. This is difficult due to variations in scale, pose,…”
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